Data Scientist
Hello, I'm Rina — a data scientist turning messy datasets into clear business decisions through statistical modeling and machine learning.
Fresh graduate of Informatics Engineering, Universitas Muhammadiyah Yogyakarta (UMY) with hands-on experience in predictive modeling, NLP pipelines, and customer analytics. Currently freelancing for Indonesian SME analytics projects and open to junior data scientist / analytics roles in tech / fintech / e-commerce companies.
Based in Yogyakarta, Indonesia
Highlights of recent data science + ML projects — click each card to flip and see project details.
End-to-end churn prediction model for an Indonesian telco SME. Feature engineering on 24-month call detail records, XGBoost classifier (ROC-AUC 0.89), SHAP value interpretation. Deployed via Streamlit dashboard for monthly retention team review.
Real-time sentiment analysis pipeline on Indonesian Twitter (Bahasa Indonesia + Javanese slang). Fine-tuned IndoBERT model on 30K labeled tweets (F1 0.84). Interactive Power BI dashboard for brand monitoring team.
Hybrid collaborative + content-based recommender system for a Yogyakarta local fashion e-commerce. Implicit feedback matrix factorization + item embeddings. A/B test showed +18% CTR vs popularity baseline.
Bachelor thesis — comparative forecasting of COVID-19 cases across 5 Indonesian provinces. SARIMA vs Prophet vs LSTM benchmarks on 730-day case records. LSTM won by 12% MAPE on test set.
Credit scoring model for Indonesian UMKM microloan dataset (10K records). Logistic regression baseline + Random Forest ensemble. Achieved 0.81 AUC. Interpretability via partial dependence plots for stakeholder review.
Internship project — built air quality prediction pipeline using IoT sensor network across Yogyakarta. Time-series feature engineering + gradient boosting. Deployed on Raspberry Pi edge devices.
Hands-on projects across data science, ML, and analytics — shipped models + dashboards used by stakeholders.
Freelance — Independent Data Scientist
Solo freelance practice serving 6+ Indonesian SMEs across retail, fintech, and F&B sectors. Scope: customer analytics, churn modeling, dashboard development (Power BI / Tableau). Average project completion 4-6 weeks.
Bukalapak — Yogyakarta Analytics Hub
6-month internship at Bukalapak's regional analytics team. Built customer segmentation pipeline using K-means + RFM analysis on 2M+ user records. Outputs adopted by marketing team for targeted campaigns (+12% CTR improvement).
UMY Big Data Research Lab
Part-time research assistant at UMY Big Data Lab. Co-authored 2 published papers on Indonesian COVID-19 forecasting + microloan credit scoring. Maintained lab's GPU compute cluster + data pipeline infrastructure.
Degrees in computer science + data engineering, plus targeted self-directed coursework.
Universitas Muhammadiyah Yogyakarta (UMY)
GPA 3.84/4.00 (Magna Cum Laude). Concentration: Data Science & Machine Learning. Bachelor thesis on COVID-19 forecasting using deep learning. Active in UMY Data Science Community + Google Developer Student Clubs UMY.
SMA Negeri 1 Yogyakarta
IPA track. Active in mathematics olympiad team — provincial finalist Earth Science 2019. Editor of school science magazine.
Leadership + community roles outside formal work — student orgs, study groups, volunteer projects.
UMY Data Science Community (UDSC)
Led workshop programming for 120+ UDSC members. Organized 8 hands-on workshops (Python, scikit-learn, Tableau, SQL fundamentals) + Yogyakarta Data Science Day 2023 (300+ attendees from 8 universities).
Google Developer Student Clubs (GDSC) UMY
Mentored ML study group of 15 students. Organized GDSC UMY Solution Challenge 2023 — team finalist in regional round. Led 4 ML knowledge sharing sessions covering TensorFlow + scikit-learn fundamentals.
Himpunan Mahasiswa Teknik Informatika UMY
Volunteer at HMTI UMY R&D division. Co-authored chapter newsletter, organized 2 guest lecture sessions (industry data scientists from Tokopedia + Shopee).
Core competencies essential for shipping data science work end-to-end.
Day-to-day toolkit for data exploration, modeling, deployment, and stakeholder communication.
Acknowledgments for academic excellence + competitive achievements in data science.
Professional certifications demonstrating depth in machine learning, cloud, and analytics tooling.
Endorsements + testimonials highlighting working style + technical contributions.
Rina combined statistical rigor with engineering discipline in a way I rarely see at undergraduate level. Her thesis on COVID-19 forecasting moved beyond toy benchmark comparisons — she actually shipped reproducible code + clear stakeholder framing. Ready for industry from day one.
View LetterHosted Rina as our analytics intern. She picked up our internal data stack faster than most full-time hires — within 6 weeks she was shipping production-ready customer segmentation features. Strong fundamentals, calm under pressure, asks the right questions.
View LetterRina delivered our churn prediction project end-to-end as a freelancer — model, dashboard, retention playbook. The output is now part of our standard monthly client report. Reliable, professional, and surprisingly business-savvy for a fresh grad.
View LetterLet's start a productive conversation — happy to talk data, design, or your next project.
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